Output details
11 - Computer Science and Informatics
University of Manchester
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Output 0 of 0 in the submission
Article title
A minimum description length objective function for groupwise non-rigid image registration
Type
D - Journal article
Title of journal
Image and Vision Computing
Article number
-
Volume number
26
Issue number
3
First page of article
333
ISSN of journal
0262-8856
Year of publication
2008
URL
-
Number of additional authors
2
Additional information
<23> Optimising the alignment (correspondence) of a set of images is an essential step in modelling anatomical variation in medical images. This work is significant, because it shows how a minimum description length approach, already used successfully in shape modelling, can be extended to image modelling – a far more challenging problem. This provided one of the key building blocks of a practical approach to modelling and interpreting medical images, which forms the core technology of spin-out imorphics (see impact case study).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
23
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
